chinux23 / NeuralNetworkAsTradingStrategyLinks
Use Neural Network as a trading strategy model
☆29Updated 8 years ago
Alternatives and similar repositories for NeuralNetworkAsTradingStrategy
Users that are interested in NeuralNetworkAsTradingStrategy are comparing it to the libraries listed below
Sorting:
- a unified environment for supervised learning and reinforcement learning in the context of quantitative trading☆45Updated 4 years ago
- A crypto currency live-trading backend for Huobi☆35Updated 7 years ago
- ☆17Updated 3 years ago
- Predicting a Stock Price Using a Genetic Algorithm☆16Updated 7 years ago
- Paper: https://arxiv.org/pdf/2008.12275.pdf☆26Updated 5 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 7 years ago
- 💸 Papers and Code Implements for Quantitative-Trading☆37Updated 7 years ago
- In the high-frequency era of trading, orders of stocks can be executed under a millsecond. The information about the thousands of orders …☆10Updated 9 years ago
- Automated FOREX trading using recurrent reinforcement learning☆33Updated 2 years ago
- Deep learning for price movement prediction using high frequency limit order data☆40Updated 7 years ago
- Hedging portfolios with reinforcement learning.☆35Updated 8 years ago
- This project deals with the use of machine learning to predict changes in stock values as well as we incorporating study on effect of dif…☆13Updated 8 years ago
- Building a High Frequency Trading Engine with Neural Networks☆12Updated 7 years ago
- ☆24Updated 5 years ago
- Deep learning for limit order book trading and mid-price movement☆56Updated 5 years ago
- Limit Order Book for high-frequency trading (HFT) strategies using data science approaches☆24Updated 3 years ago
- Machine learning approach to high frequency trading, MLP & RNN used☆22Updated 9 years ago
- Alpaca-based Order Book Inbalace Algorithm.☆12Updated 5 years ago
- This repo contains my reimplementation and improvement of DeepLOB model.☆30Updated 4 years ago
- Implementation for "Statistical arbitrage in the US equities market" by Marco Avellaneda and Jeong-hyun Lee☆22Updated 6 years ago
- Robust Market Making via Adversarial Reinforcement Learning☆52Updated 5 years ago
- Cryptocurrency Trading with Reinforcement Learning based on Backtrader☆45Updated 9 months ago
- sharpe is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning and reinfo…☆50Updated 4 years ago
- A Python toolkit for high-frequency trade research.☆42Updated 7 years ago
- Trend Prediction for High Frequency Trading☆43Updated 2 years ago
- Event-driven Algorithmic Trading For Python☆25Updated 6 years ago
- A simply framework of researching stock data through LSTM by Tensorflow☆17Updated 6 years ago
- source : http://coin.wne.uw.edu.pl/pwojcik/hfd_en.html☆38Updated 7 years ago
- 🏦 Collect quant trade strategy and deep learning trading implementation☆13Updated 7 years ago
- Using Q-learning to better navigate orderbooks.☆22Updated 7 years ago